首页 > 最新文献

Int. J. Energy Optim. Eng.最新文献

英文 中文
Application of Optimized Least Square Support Vector Machine and Genetic Programming for Accurate Estimation of Drilling Rate of Penetration 优化最小二乘支持向量机和遗传规划在钻速精确估计中的应用
Pub Date : 2018-10-01 DOI: 10.4018/IJEOE.2018100105
M. Naderi, E. Khamehchi
This article describes how the accurate estimation of the rate of penetration (ROP) is essential to minimize drilling costs. There are various factors influencing ROP such as formation rock, drilling fluid properties, wellbore geometry, type of bit, hydraulics, weight on bit, flow rate and bit rotation speed. This paper presents two novel methods based on least square support vector machine (LSSVM) and genetic programming (GP). Models are a function of depth, weight on bit, rotation speed, stand pipe pressure, flow rate, mud weight, bit rotational hours, plastic viscosity, yield point, 10 second gel strength, 10 minute gel strength, and fluid loss. Results show that LSSVM estimates 92% of field data with average absolute relative error of less than 6%. In addition, sensitivity analysis showed that factors of depth, weight on bit, stand pipe pressure, flow rate and bit rotation speed account for 93% of total variation of ROP. Finally, results indicate that LSSVM is superior over GP in terms of average relative error, average absolute relative error, root mean square error, and the coefficient of determination.
本文描述了如何准确估计钻速(ROP)对于最小化钻井成本至关重要。影响机械钻速的因素有很多,如地层岩石、钻井液性质、井筒几何形状、钻头类型、水力学、钻头重量、流量和钻头转速。本文提出了基于最小二乘支持向量机(LSSVM)和遗传规划(GP)的两种新方法。模型是深度、钻头重量、转速、立管压力、流量、泥浆重量、钻头旋转小时、塑性粘度、屈服点、10秒凝胶强度、10分钟凝胶强度和流体损失的函数。结果表明,LSSVM估计了92%的现场数据,平均绝对相对误差小于6%。此外,敏感性分析表明,深度、钻压、立管压力、流量和钻头转速等因素占ROP总变化量的93%。结果表明,LSSVM在平均相对误差、平均绝对相对误差、均方根误差和决定系数方面均优于GP。
{"title":"Application of Optimized Least Square Support Vector Machine and Genetic Programming for Accurate Estimation of Drilling Rate of Penetration","authors":"M. Naderi, E. Khamehchi","doi":"10.4018/IJEOE.2018100105","DOIUrl":"https://doi.org/10.4018/IJEOE.2018100105","url":null,"abstract":"This article describes how the accurate estimation of the rate of penetration (ROP) is essential to minimize drilling costs. There are various factors influencing ROP such as formation rock, drilling fluid properties, wellbore geometry, type of bit, hydraulics, weight on bit, flow rate and bit rotation speed. This paper presents two novel methods based on least square support vector machine (LSSVM) and genetic programming (GP). Models are a function of depth, weight on bit, rotation speed, stand pipe pressure, flow rate, mud weight, bit rotational hours, plastic viscosity, yield point, 10 second gel strength, 10 minute gel strength, and fluid loss. Results show that LSSVM estimates 92% of field data with average absolute relative error of less than 6%. In addition, sensitivity analysis showed that factors of depth, weight on bit, stand pipe pressure, flow rate and bit rotation speed account for 93% of total variation of ROP. Finally, results indicate that LSSVM is superior over GP in terms of average relative error, average absolute relative error, root mean square error, and the coefficient of determination.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
GPU-Based Power Flow Method a Multi-Objective Power Optimization Model for Reconfiguration Problem in Radial Distribution Networks 基于gpu的功率流方法:径向配电网重构问题的多目标功率优化模型
Pub Date : 2018-10-01 DOI: 10.4018/IJEOE.2018100103
Hiba Yahyaoui, A. Dekdouk, S. Krichen
This article addresses the distribution network reconfiguration problem (DNRP) and the power flow method. The studied DNRP operates on standard configurations of electrical networks. The main objectives handled are the minimization of power loss, the number of switching operations and the deviations of bus voltages from their rated values. Metaheuristic approaches based on Greedy Iterated Local Search where proposed to solve the DNRP. A benchmarking testbed on standard systems well illustrates the incentive behind using GrILS for solving the DNRP. In addition, the proposed approaches and the power flow method where implemented on GPU architecture. The GPU implementation shows its effectiveness against the CPU in terms of time consuming specially for large-scale bus systems.
本文讨论了配电网重构问题和潮流法。所研究的DNRP在电网的标准配置上运行。处理的主要目标是最大限度地减少功率损失,开关操作的数量和母线电压与其额定值的偏差。提出了一种基于贪婪迭代局部搜索的元启发式方法来解决DNRP问题。标准系统上的基准测试平台很好地说明了使用GrILS解决DNRP背后的动机。此外,所提出的方法和功率流方法在GPU架构上实现。对于大规模总线系统,GPU的实现在时间消耗方面显示了它对CPU的有效性。
{"title":"GPU-Based Power Flow Method a Multi-Objective Power Optimization Model for Reconfiguration Problem in Radial Distribution Networks","authors":"Hiba Yahyaoui, A. Dekdouk, S. Krichen","doi":"10.4018/IJEOE.2018100103","DOIUrl":"https://doi.org/10.4018/IJEOE.2018100103","url":null,"abstract":"This article addresses the distribution network reconfiguration problem (DNRP) and the power flow method. The studied DNRP operates on standard configurations of electrical networks. The main objectives handled are the minimization of power loss, the number of switching operations and the deviations of bus voltages from their rated values. Metaheuristic approaches based on Greedy Iterated Local Search where proposed to solve the DNRP. A benchmarking testbed on standard systems well illustrates the incentive behind using GrILS for solving the DNRP. In addition, the proposed approaches and the power flow method where implemented on GPU architecture. The GPU implementation shows its effectiveness against the CPU in terms of time consuming specially for large-scale bus systems.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133263181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Saving Energy in Homes Using Wi-Fi Device Usage Patterns 利用Wi-Fi设备使用模式为家庭节能
Pub Date : 2018-07-01 DOI: 10.4018/IJEOE.2018070103
Tejasvi Kothapalli
Reducing power usage in the residential sector is a global problem. Appliances used for space heating, cooling, and lighting are the primary sources of home energy consumption, increased costs, and CO2 emissions. Such devices are a significant source of energy wastage if they are left on and not being used. This article proposes a solution to reduce energy wastage in smart homes. The solution consists of a method to detect the presence of resident activities in the household based on Wi-Fi devices. It presents a model for identifying the Wi-Fi devices that are similar in usage compared to the resident's appliances using machine learning techniques. In addition to displaying the device usage charts, this solution helps in automatically turning off such appliances when they are not in use. A controlled experiment is conducted to evaluate the performance of the solution. The results indicate that this approach can significantly reduce energy wastage in the homes.
减少住宅用电是一个全球性的问题。用于空间供暖、制冷和照明的电器是家庭能源消耗、成本增加和二氧化碳排放的主要来源。如果这些设备一直开着而不被使用,它们是能源浪费的一个重要来源。本文提出了一种减少智能家居能源浪费的解决方案。该解决方案包括一种基于Wi-Fi设备检测家庭中居民活动存在的方法。它提出了一个模型,用于使用机器学习技术识别与居民设备使用相似的Wi-Fi设备。除了显示设备使用图表外,该解决方案还有助于在不使用这些设备时自动关闭它们。通过对照实验对该溶液的性能进行了评价。结果表明,这种方法可以显著减少家庭的能源浪费。
{"title":"Saving Energy in Homes Using Wi-Fi Device Usage Patterns","authors":"Tejasvi Kothapalli","doi":"10.4018/IJEOE.2018070103","DOIUrl":"https://doi.org/10.4018/IJEOE.2018070103","url":null,"abstract":"Reducing power usage in the residential sector is a global problem. Appliances used for space heating, cooling, and lighting are the primary sources of home energy consumption, increased costs, and CO2 emissions. Such devices are a significant source of energy wastage if they are left on and not being used. This article proposes a solution to reduce energy wastage in smart homes. The solution consists of a method to detect the presence of resident activities in the household based on Wi-Fi devices. It presents a model for identifying the Wi-Fi devices that are similar in usage compared to the resident's appliances using machine learning techniques. In addition to displaying the device usage charts, this solution helps in automatically turning off such appliances when they are not in use. A controlled experiment is conducted to evaluate the performance of the solution. The results indicate that this approach can significantly reduce energy wastage in the homes.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"3 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach 基于多智能体建模方法的微电网电力市场优化
Pub Date : 2018-07-01 DOI: 10.4018/IJEOE.2018070101
Alireza Heidari, M. Moradi, A. Aslani, A. Hajinezhad
Micro-grids are the key technologies known to solve challenges such as increased electric demand, fatigue electric installations, electrical leakage and pressures and opposition from environmental advocacy groups. The current article is presenting an improved optimization algorithm based on a differential evolution algorithm to achieve the optimal response for managing distributed energy resources in micro-grids. The simulation results show that: 1) The final cost of network management in systems based on the agent is very favorable compared to a network regardless of the agent and also are economically much more useful and effective in coordinating various energy sources. 2) The results of the proposed algorithm are much better in comparison with the results of the Fireflies optimization algorithm, a differential evolution algorithm and the particle swarm algorithm. This comparison proves the high performance of the algorithm.
微电网是解决电力需求增加、电力装置疲劳、电力泄漏、压力和环境倡导团体反对等挑战的关键技术。本文提出了一种基于差分进化算法的改进优化算法,以实现微电网分布式能源管理的最优响应。仿真结果表明:1)与不考虑智能体的网络相比,基于智能体的网络管理的最终成本非常有利,并且在协调各种能源时经济上更加有用和有效。2)与萤火虫优化算法、差分进化算法和粒子群算法的结果相比,本文算法的结果要好得多。通过比较,证明了该算法的高性能。
{"title":"Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach","authors":"Alireza Heidari, M. Moradi, A. Aslani, A. Hajinezhad","doi":"10.4018/IJEOE.2018070101","DOIUrl":"https://doi.org/10.4018/IJEOE.2018070101","url":null,"abstract":"Micro-grids are the key technologies known to solve challenges such as increased electric demand, fatigue electric installations, electrical leakage and pressures and opposition from environmental advocacy groups. The current article is presenting an improved optimization algorithm based on a differential evolution algorithm to achieve the optimal response for managing distributed energy resources in micro-grids. The simulation results show that: 1) The final cost of network management in systems based on the agent is very favorable compared to a network regardless of the agent and also are economically much more useful and effective in coordinating various energy sources. 2) The results of the proposed algorithm are much better in comparison with the results of the Fireflies optimization algorithm, a differential evolution algorithm and the particle swarm algorithm. This comparison proves the high performance of the algorithm.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129812882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Transient 3D: Simulation of a Flat Plate Solar Collector in a Mild Climate Condition 瞬态三维:温和气候条件下平板太阳能集热器的模拟
Pub Date : 2018-07-01 DOI: 10.4018/IJEOE.2018070105
Sadaf Karkoodi, A. Aslani, M. Talebi, Soheil Roumi, A. Abbassi
This article describes the limitations and the environmental effects of fossil fuels have provided the drive to create replacement strategies, such as the utilization of renewable energy resources. Solar energy and related technologies are also among fast-growing renewable resources and technologies. Despite different research on solar technologies, an extensive research on the effects of different parts of the collector, such as an absorber, glass cover, and the air gap has not conducted in the warm climate in the Middle East. This article focuses on an unsteady and three-dimensional simulation of a flat plate solar collector considering Discrete Transfer Radiation Model (DTRM). The parameters effecting on efficiency of collector such as the absorber material, tilt angle of the collector and effect of double glazing are analyzed. The result of the numerical analysis shows parameters effecting on collector efficiency, and double-glazed glass.
本文描述了化石燃料的局限性和对环境的影响,为创造替代战略提供了动力,例如利用可再生能源。太阳能及相关技术也是发展迅速的可再生资源和技术之一。尽管对太阳能技术进行了不同的研究,但在中东温暖的气候条件下,尚未对集热器不同部分(如吸收器、玻璃罩和气隙)的影响进行广泛的研究。本文采用离散传递辐射模型(DTRM)对平板太阳能集热器进行了非定常三维模拟。分析了吸收材料、集热器倾斜角度、双层玻璃效果等参数对集热器效率的影响。数值分析结果显示了参数对集热器效率和双层玻璃的影响。
{"title":"Transient 3D: Simulation of a Flat Plate Solar Collector in a Mild Climate Condition","authors":"Sadaf Karkoodi, A. Aslani, M. Talebi, Soheil Roumi, A. Abbassi","doi":"10.4018/IJEOE.2018070105","DOIUrl":"https://doi.org/10.4018/IJEOE.2018070105","url":null,"abstract":"This article describes the limitations and the environmental effects of fossil fuels have provided the drive to create replacement strategies, such as the utilization of renewable energy resources. Solar energy and related technologies are also among fast-growing renewable resources and technologies. Despite different research on solar technologies, an extensive research on the effects of different parts of the collector, such as an absorber, glass cover, and the air gap has not conducted in the warm climate in the Middle East. This article focuses on an unsteady and three-dimensional simulation of a flat plate solar collector considering Discrete Transfer Radiation Model (DTRM). The parameters effecting on efficiency of collector such as the absorber material, tilt angle of the collector and effect of double glazing are analyzed. The result of the numerical analysis shows parameters effecting on collector efficiency, and double-glazed glass.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Optimal Design of Power System Stabilizer Using a Novel Evolutionary Algorithm 基于进化算法的电力系统稳定器优化设计
Pub Date : 2018-07-01 DOI: 10.4018/IJEOE.2018070102
S. Paul, P. Roy
In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully applied for the optimal design of power system stabilizer (PSS) parameters which are added to the excitation system to dampen low frequency oscillation as it pertains to large power system. The effectiveness of the proposed method is examined and validated on a single machine infinite bus (SMIB) using the Heffron-Phillips model. The most important advantage of the proposed method is as it reaches toward the optimal solution without the optimal tuning of input parameters of the ODSA algorithm. In order to verify the effectiveness, the simulation was made for a wide range of loading conditions. The simulation results of the proposed ODSA are compared with those obtained by other techniques available in the recent literature to demonstrate the feasibility of the proposed algorithm.
本文全面开发了一种对向差分搜索算法(ODSA),并将其成功地应用于大型电力系统中加入励磁系统抑制低频振荡的稳压器参数的优化设计。利用Heffron-Phillips模型在单机无限总线(SMIB)上验证了该方法的有效性。该方法最重要的优点是无需对ODSA算法的输入参数进行最优调整即可达到最优解。为了验证该方法的有效性,在多种加载条件下进行了仿真。将所提出的ODSA的仿真结果与最近文献中可用的其他技术的仿真结果进行了比较,以证明所提出算法的可行性。
{"title":"Optimal Design of Power System Stabilizer Using a Novel Evolutionary Algorithm","authors":"S. Paul, P. Roy","doi":"10.4018/IJEOE.2018070102","DOIUrl":"https://doi.org/10.4018/IJEOE.2018070102","url":null,"abstract":"In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully applied for the optimal design of power system stabilizer (PSS) parameters which are added to the excitation system to dampen low frequency oscillation as it pertains to large power system. The effectiveness of the proposed method is examined and validated on a single machine infinite bus (SMIB) using the Heffron-Phillips model. The most important advantage of the proposed method is as it reaches toward the optimal solution without the optimal tuning of input parameters of the ODSA algorithm. In order to verify the effectiveness, the simulation was made for a wide range of loading conditions. The simulation results of the proposed ODSA are compared with those obtained by other techniques available in the recent literature to demonstrate the feasibility of the proposed algorithm.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116620276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Preliminary Energy Assessment of Glass Production in Nigeria 尼日利亚玻璃生产的初步能源评估
Pub Date : 2018-07-01 DOI: 10.4018/IJEOE.2018070104
O. Samuel, T. E. Boye, A. Ojelade
This article describes how the high energy consumption associated with glass factories has been responsible for high cost of manufacturing of glass. However, there is a need for a systematic approach to assess energy consumption in the factory in order to avoid wastage. Previous methods of assessment could not take into cognizance of assessing the entire unit. Additionally, the methods are mostly complex and not straight forward"To overcome these constraints, an approach for audit energy consumption was developed. Energy study was conducted in a glass production plant in Ughelli, Nigeria to determine the energy requirements for the production of glass. The energy consumption patterns of the units operations were evaluated for production of 200 tonnes of glass bottles. The analysis revealed that there were ten defined units in a glass production. The electrical, thermal and manual energy required for the productions were 84.31, 15.59 and 0.10% of the total energy, respectively. The average energy intensity was estimated to be 818.53 MJ/tonne. The most energy intensive operation was identified as the melting process of the furnace with an energy intensity of 395.94 MJ/tonne, which accounts for 48.37% of the total energy required for glass production. Improvement on the design of the melting furnace is suggested to make the system more energy efficient.
这篇文章描述了与玻璃工厂相关的高能耗是如何导致玻璃制造成本高的。然而,需要一种系统的方法来评估工厂的能源消耗,以避免浪费。以前的评估方法不能考虑到对整个单位的评估。此外,方法大多复杂且不直接。为了克服这些限制,开发了一种审计能源消耗的方法。在尼日利亚Ughelli的一家玻璃生产厂进行了能源研究,以确定玻璃生产的能源需求。对生产200吨玻璃瓶的单位操作的能源消耗模式进行了评估。分析表明,在玻璃生产中有十个确定的单位。生产所需的电能、热能和人工能量分别占总能量的84.31%、15.59%和0.10%。平均能源强度估计为818.53兆焦耳/吨。其中能耗最大的是熔炉的熔化过程,其能耗强度为395.94 MJ/吨,占玻璃生产总能耗的48.37%。建议对熔炼炉的设计进行改进,使系统更加节能。
{"title":"Preliminary Energy Assessment of Glass Production in Nigeria","authors":"O. Samuel, T. E. Boye, A. Ojelade","doi":"10.4018/IJEOE.2018070104","DOIUrl":"https://doi.org/10.4018/IJEOE.2018070104","url":null,"abstract":"This article describes how the high energy consumption associated with glass factories has been responsible for high cost of manufacturing of glass. However, there is a need for a systematic approach to assess energy consumption in the factory in order to avoid wastage. Previous methods of assessment could not take into cognizance of assessing the entire unit. Additionally, the methods are mostly complex and not straight forward\"To overcome these constraints, an approach for audit energy consumption was developed. Energy study was conducted in a glass production plant in Ughelli, Nigeria to determine the energy requirements for the production of glass. The energy consumption patterns of the units operations were evaluated for production of 200 tonnes of glass bottles. The analysis revealed that there were ten defined units in a glass production. The electrical, thermal and manual energy required for the productions were 84.31, 15.59 and 0.10% of the total energy, respectively. The average energy intensity was estimated to be 818.53 MJ/tonne. The most energy intensive operation was identified as the melting process of the furnace with an energy intensity of 395.94 MJ/tonne, which accounts for 48.37% of the total energy required for glass production. Improvement on the design of the melting furnace is suggested to make the system more energy efficient.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A WDO Framework for Optimal Deployment of DGs and DSCs in a Radial Distribution System Under Daily Load Pattern to Improve Techno-Economic Benefits 径向配电网日负荷模式下dg和dsc优化配置的WDO框架以提高技术经济效益
Pub Date : 2018-04-01 DOI: 10.4018/IJEOE.2018040101
S. K. Injeti, T. V. Kumar
{"title":"A WDO Framework for Optimal Deployment of DGs and DSCs in a Radial Distribution System Under Daily Load Pattern to Improve Techno-Economic Benefits","authors":"S. K. Injeti, T. V. Kumar","doi":"10.4018/IJEOE.2018040101","DOIUrl":"https://doi.org/10.4018/IJEOE.2018040101","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128124675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Extreme Value Metaheuristics for Optimizing a Many-Objective Gas Turbine System 多目标燃气轮机系统优化的极值元启发式算法
Pub Date : 2018-04-01 DOI: 10.4018/IJEOE.2018040104
T. Ganesan, M. Aris, P. Vasant
{"title":"Extreme Value Metaheuristics for Optimizing a Many-Objective Gas Turbine System","authors":"T. Ganesan, M. Aris, P. Vasant","doi":"10.4018/IJEOE.2018040104","DOIUrl":"https://doi.org/10.4018/IJEOE.2018040104","url":null,"abstract":"","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121092724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Numerical Study of Discharged Heat Water Effect on Aquatic Environment From Coastal Thermal Power Plant by Using Two Water Discharged Pipes 沿海火力发电厂双排水管排放热水对水环境影响的数值研究
Pub Date : 2018-04-01 DOI: 10.4018/IJEOE.2018040105
A. Issakhov
Thearticlepresentsanumericalstudyofthethermalloadontheaquaticenvironmentbyusingtwo waterdischargepipesundervariousoperationalcapacitiesofthermalpowerplant.Itissolvedbythe Navier-Stokesandtemperaturetransportequationsforanincompressiblefluidinastratifiedmedium. Theaimofthisarticleistoimprovetheexistingwaterdischargesystemforreducetheheatload onthereservoir-coolerofthethermalpowerplantsoperation(EkibastuzSDPP-1).Inthisarticle, thermalpollutionusingonlytwowaterdischargepipes,usingtheexistingoneandbuildingonlyone additionalintheeasternpartofthereservoir-coolerisnumericallysimulated.Thenumericalmethodis basedontheprojectionmethod,whichwasapproximatedbythefinitevolumemethod.Theobtained numericalresultsofthree-dimensionalstratifiedturbulentflowfortwowaterdischargepipesunder variousoperationalcapacitiesofthethermalpowerplantwerecomparedwithexperimentaldataand withthenumericalresultsforonewaterdischargepipe. KEyWORDS 5-Step Runge-Kutta Method, Ekibastuz SDPP-1, Navier-Stokes Equation, Operational Capacities of Thermal Power Plant, Stratified Medium, Thermal Discharge, Two Water Discharge Pipes
Thearticlepresentsanumericalstudyofthethermalloadontheaquaticenvironmentbyusingtwo waterdischargepipesundervariousoperationalcapacitiesofthermalpowerplant。Itissolvedbythe Navier-Stokesandtemperaturetransportequationsforanincompressiblefluidinastratifiedmedium。Theaimofthisarticleistoimprovetheexistingwaterdischargesystemforreducetheheatload onthereservoir-coolerofthethermalpowerplantsoperation(EkibastuzSDPP-1)。Inthisarticle, thermalpollutionusingonlytwowaterdischargepipes,usingtheexistingoneandbuildingonlyone additionalintheeasternpartofthereservoir-coolerisnumericallysimulated。Thenumericalmethodis basedontheprojectionmethod,whichwasapproximatedbythefinitevolumemethod。Theobtained numericalresultsofthree-dimensionalstratifiedturbulentflowfortwowaterdischargepipesunder variousoperationalcapacitiesofthethermalpowerplantwerecomparedwithexperimentaldataand withthenumericalresultsforonewaterdischargepipe。关键词:五步龙格-库塔法,Ekibastuz SDPP-1, Navier-Stokes方程,火电厂运行能力,分层介质,热排放,双排水管
{"title":"Numerical Study of Discharged Heat Water Effect on Aquatic Environment From Coastal Thermal Power Plant by Using Two Water Discharged Pipes","authors":"A. Issakhov","doi":"10.4018/IJEOE.2018040105","DOIUrl":"https://doi.org/10.4018/IJEOE.2018040105","url":null,"abstract":"Thearticlepresentsanumericalstudyofthethermalloadontheaquaticenvironmentbyusingtwo waterdischargepipesundervariousoperationalcapacitiesofthermalpowerplant.Itissolvedbythe Navier-Stokesandtemperaturetransportequationsforanincompressiblefluidinastratifiedmedium. Theaimofthisarticleistoimprovetheexistingwaterdischargesystemforreducetheheatload onthereservoir-coolerofthethermalpowerplantsoperation(EkibastuzSDPP-1).Inthisarticle, thermalpollutionusingonlytwowaterdischargepipes,usingtheexistingoneandbuildingonlyone additionalintheeasternpartofthereservoir-coolerisnumericallysimulated.Thenumericalmethodis basedontheprojectionmethod,whichwasapproximatedbythefinitevolumemethod.Theobtained numericalresultsofthree-dimensionalstratifiedturbulentflowfortwowaterdischargepipesunder variousoperationalcapacitiesofthethermalpowerplantwerecomparedwithexperimentaldataand withthenumericalresultsforonewaterdischargepipe. KEyWORDS 5-Step Runge-Kutta Method, Ekibastuz SDPP-1, Navier-Stokes Equation, Operational Capacities of Thermal Power Plant, Stratified Medium, Thermal Discharge, Two Water Discharge Pipes","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132098909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Int. J. Energy Optim. Eng.
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1